11+ SAP MRP Jobs in India
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We are hiring an SAP PP Consultant to manage and support Production Planning (PP) processes including MRP, BOM, routing, capacity planning, and production orders. The role includes configuration, integration, and user support.


Job Description :
Java Full Stack Developer (Java + Angular) We are solving complex technical problems in the financial industry and need talentedsoftware engineers to join our mission and be a part of a global software development team. As a Java Full Stack Developer, you will be responsible for designing, developing, and maintaining enterprise applications using Java and Angular. You will collaborate with cross-functional teams to define, design, and ship newfeatures, and you will work closely with Architects to ensure the technical feasibilityof designs and implement them accordingly.
Required Skills: Exp. - 4 to 9 years. Experience in Core Java 8 and above, Spring (including Core, Web Mvc, Batch, Cloud etc). Extensive experience in developing enterprise-scale n-tier applications for financial domain. Should possess good architectural knowledge and be awareof enterprise application design patterns. Should be able to analyze, design, develop and test complex, low-latency clientfacing applications. Develop user interfaces for modern web applications using Angular.
Responsibilities:
● Execute campaigns on Facebook, Google Ads & other portals to drive growth.
● Work on optimization of campaigns through lever like CTR, conversion rate, average order value, etc.
● Analyzing & Reporting of Data & executing changes based on learnings.
● Coordinate with the design team to ensure campaign implementation. ● Planning & Testing of creatives & Audiences.
● Work on creatives & communication for the ads on various portals.
Must Haves: -
● Experience: 1.5 - 2 years in Performance Marketing
● Good written and verbal communication skills.
● Knowledge of Microsoft Excel
Mass hiring for Web Consultant /Senior Website Consultant to join our growing team at Starway Web Digital.
Job Title: Senior Website Consultant
Shift Time: 8:00 PM – 5:00 AM (US Shift)
Working Days: Monday to Friday
Weekends: Off
Monthly Salary: Rs.15,000 to Rs.40,000
Salary - 10% to 20% hike on last drawn salary.
Lucarative Incentives
On time salary
Location: Primac Tower, Salt Lake Sector V Kolkata
Requirements:
- Minimum 1 year of experience in website selling (mandatory).
- Strong proficiency in spoken and written English.
- Experience working in an outbound international B2B sales process.
- Excellent communication, negotiation, and persuasion skills.
- Ability to understand business needs and present relevant solutions.
- Comfortable working a night shift (US timing).
- Self-motivated, target-driven, and results-oriented mindset.
Incentives: Lucrative performance-based incentives


About Data Axle:
Data Axle Inc. has been an industry leader in data, marketing solutions, sales and research for over 50 years in the USA. Data Axle now as an established strategic global centre of excellence in Pune. This centre delivers mission critical data services to its global customers powered by its proprietary cloud-based technology platform and by leveraging proprietary business & consumer databases.
Data Axle Pune is pleased to have achieved certification as a Great Place to Work!
Roles & Responsibilities:
We are looking for a Senior Data Scientist to join the Data Science Client Services team to continue our success of identifying high quality target audiences that generate profitable marketing return for our clients. We are looking for experienced data science, machine learning and MLOps practitioners to design, build and deploy impactful predictive marketing solutions that serve a wide range of verticals and clients. The right candidate will enjoy contributing to and learning from a highly talented team and working on a variety of projects.
We are looking for a Senior Data Scientist who will be responsible for:
- Ownership of design, implementation, and deployment of machine learning algorithms in a modern Python-based cloud architecture
- Design or enhance ML workflows for data ingestion, model design, model inference and scoring
- Oversight on team project execution and delivery
- Establish peer review guidelines for high quality coding to help develop junior team members’ skill set growth, cross-training, and team efficiencies
- Visualize and publish model performance results and insights to internal and external audiences
Qualifications:
- Masters in a relevant quantitative, applied field (Statistics, Econometrics, Computer Science, Mathematics, Engineering)
- Minimum of 5 years of work experience in the end-to-end lifecycle of ML model development and deployment into production within a cloud infrastructure (Databricks is highly preferred)
- Proven ability to manage the output of a small team in a fast-paced environment and to lead by example in the fulfilment of client requests
- Exhibit deep knowledge of core mathematical principles relating to data science and machine learning (ML Theory + Best Practices, Feature Engineering and Selection, Supervised and Unsupervised ML, A/B Testing, etc.)
- Proficiency in Python and SQL required; PySpark/Spark experience a plus
- Ability to conduct a productive peer review and proper code structure in Github
- Proven experience developing, testing, and deploying various ML algorithms (neural networks, XGBoost, Bayes, and the like)
- Working knowledge of modern CI/CD methods This position description is intended to describe the duties most frequently performed by an individual in this position.
It is not intended to be a complete list of assigned duties but to describe a position level.
Job Title: Performance Marketer
Location: Remote
Job Type: Full-Time
About the Role:
Campaigns on Mind Digital Marketing Agency is seeking an experienced Performance Marketer to join our dynamic team. This role involves designing, managing, and optimizing ad campaigns across various platforms, including Google Ads, Meta Ads, LinkedIn Ads, TikTok, Snapchat, programmatic, and native advertising. The ideal candidate will have a strong background in landing page optimization, conversion tracking, and bidding strategies, as well as experience in lead generation and e-commerce.
Responsibilities:
- Design, manage, and optimize ad campaigns on Google Ads, Meta Ads, LinkedIn Ads, TikTok, Snapchat, programmatic, and native advertising platforms.
- Provide input on landing page optimization and improve end funnels.
- Set up and manage conversion tracking, optimizations, and bidding strategies.
- Develop and execute lead generation campaigns and e-commerce strategies to generate revenue for brands.
- Implement automations for Shopify, WhatsApp, and email marketing.
- Conduct performance analysis and report on all digital marketing campaigns.
- Collaborate with the creative team to ensure content is informative and appealing.
- Manage a large scale of campaigns in a fast-paced environment.
- Focus on ROI-based marketing campaigns to achieve business objectives.
Requirements:
- Minimum of 4 years of experience in performance marketing.
- Proven expertise in Google Ads, Meta Ads, LinkedIn Ads, TikTok, Snapchat, programmatic, and native advertising.
- Strong understanding of landing page optimization and funnel improvement.
- Proficient in setting up conversion tracking, optimizations, and bidding strategies.
- Experience in lead generation and e-commerce revenue generation.
- Prioritized experience in automation for Shopify, WhatsApp, and email marketing.
- Strong analytical skills and data-driven thinking.
- Up-to-date with the latest trends and best practices in online marketing.
- Ability to work independently and in a team environment.
- Excellent communication and organizational skills.
- Commitment to a 6-day working week.

Requirements:
- Angular and Angular JS, Able to work Architecture, Design and Development ofComplex UI Screens
- OOP fundamentals (Encapsulation, Abstraction, Inheritance, Polymorphism), MVC architecture
- UML (Class/Sequence diagrams)
- Design Patterns (Should be able to explain some common design patterns)
- Versioning (CVS, VSS, Git etc. – why is it used?, check-in/check-out, merging, how to resolve conflicts?, etc.)
- JDBC (Statement types, Obtaining connection, ResultSet, Drivers)
- Hibernate/JPA , DB (PK, FK, Normalization), SQL (Insert/Update/Delete/select queries)
- CSS (Styles, Classes)
- SDLC (What is it?, benefits, etc.)
- Robust Programming, Debugging (Common IDE features and their use)
- Analytical skills – ability to look at a problem with different perspectives: define solutions understanding the pros and cons of each
- Hands on with Continuous Integration, Maven
- Estimation, Planning and Tracking, Timely Issue Escalation and Resolutions
- Exposure to Performance tools, Jprofiler, Dynatrace etc.
JOB DESCRIPTION - UI UX DESIGNER
Years of Experience: 1-3 years
Qualification: Any Graduate
Department: Technology
Skills Required:
Adobe Creative Suite (Photoshop, Illustrator, indesign) (After Effect will be a great add on), Sketch, Figma, Basic Html understanding, Basic knowledge on user journey and user usability.
Primary Function:
Overall responsible for creating design solutions that have a high visual impact. The role involves listening to clients and understanding their needs before making design decisions. Develop creative ideas and concepts, choosing the appropriate media and style to meet the client's objectives.
Major Responsibilities:
- Should have experience researching problem statements and designing solutions that meet the desired UX goals and stakeholder requirements
- Should be able to rapidly prototype ideas; pen and paper will do for mockups. Should be familiar with prototyping tools or front end code for higher fidelity prototyping
- Good communication skills. Must be able to communicate idea to all stakeholders product, engineering and design
- Must have average above average knowledge of the Adobe Suite
- Must be able to look at the product as a whole to design workflows that scale
- Must be able to measure UX changes and suggest further improvements
- Should be able to build UI components that meet the desired UX. Should be able to understand and respect the UX8. Should follow the style guide and design according to the guidelines
- Understanding of typography, typographic grid, grid based systems, design frameworks and responsive design principles is required. Should be able to adapt and extend the style guide as required and define new UI components when needed
- Should be able to build reusable UI components
- Good communication with the product and engineering teams to assess feasibility of UI components
- Experience with motion/interaction design a plus
- Must know the Adobe Creative Suite well. Must also be familiar with prototyping tool

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.
Skills:
- 5+ years deploying Machine Learning pipelines in large enterprise production systems.
- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.
Roles and Responsibilities:
Deploying ML models into production, and scaling them to serve millions of customers.
Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.
Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.
Provide software design and programming support to projects.
Qualifications & Experience:
Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.
- Explain the customers - based on product offers/benefits
- Promoting the products
- Customer follow-up
- Feedback - emails/phones (communication channel)
- Maintain register for the same
- Handle Telephone Calls. And handle Lead Validation and sending the Lead to the concerned executive in the CRM and Whatsapp.
- Looking for an ambitious and energetic individual for Telecaller Executive/ Customer Care Executive/Customer Support Executive /inbound, to help us expand our clientele. Who will be the face of the company and should have the dedication to create and apply an effective sales strategy.
- Should have good Communication Skills and Convincing Power.
- Keep records of calls and sales and note useful information
- Completely work from home opportunity
- Answer calls in a professional manner
- Get leads from Justdial
- Answer customer queries
- Call up customers & understand leads
- Pass requirement to the sales team